Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, 2nd Edition, (PDF) provides linear buildings for modeling information with a give attention to the right way to embody particular concepts (hypotheses) in regards to the construction of the information right into a linear mannequin for the information. The ebook fastidiously evaluates small information units by utilizing instruments which are simply scaled to massive information. The instruments additionally apply to small related information units which are taken from massive information.
New to the 2nd Edition
- Unbalanced split-plot analyses
- Examination of homologous elements
- Extensions to generalized linear fashions
- Reorganized to give attention to unbalanced information
- Introductions to nonparametric and lasso regression
- R, Minitab®, and SAS code on the writer’s web site
- Introductions to common additive and generalized additive fashions
- Reworked balanced analyses utilizing strategies for unbalanced information
The textual content can be utilized in a quantity of programs, together with ANOVA or a knowledge evaluation course for upper-division statistics and a yearlong graduate course on regression for college students and graduate college students from different fields. It locations a robust give attention to decoding the vary of laptop output confronted when coping with unbalanced information.
Reviews
“… written in a lucid and clear fashion … a superb possibility for a starting stage graduate textbook on statistical strategies … a useful reference for practitioners.” ― Zentralblatt für Mathematik “Being devoted to college students primarily, every chapter has illustrative examples and workouts. The most vital factor about this ebook is that it provides conventional instruments for future approaches within the massive information area since, because the writer says, the machine studying methods are straightaway primarily based on the elemental statistical strategies.” ― Marina Gorunescu (Craiova)
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